Demographics details for New bedford, MA vs San leandro, CA

Population Overview

Compare main population characteristics in New bedford, MA vs San leandro, CA.

Data New bedford San leandro
Population 100,682 86,762
Median Age 36.8 years 41.5 years
Median Income $54,604 $97,141
Married Families 29.0% 40.0%
Poverty Level 15% 12%
Unemployment Rate 5.5 4.8

Population Comparison: New bedford vs San leandro

  • In New bedford, the population is higher at 100,682, compared to 86,762 in San leandro.
  • The median age in San leandro is higher at 41.5 years, compared to 36.8 years in New bedford.
  • San leandro has a higher median income of $97,141, compared to $54,604 in New bedford.
  • In San leandro, the percentage of married families is higher at 40.0%, compared to 29.0% in New bedford.
  • New bedford has a higher poverty level at 15% compared to 12% in San leandro.
  • The unemployment rate in New bedford is higher at 5.5%, compared to 4.8% in San leandro.

Demographics

Demographics New bedford vs San leandro provide insight into the diversity of the communities to compare.

Demographic New bedford San leandro
Black 5 11
White 56 12
Asian 1 36
Hispanic 23 29
Two or More Races 14 11
American Indian 1 1

Demographics Comparison: New bedford vs San leandro

  • In San leandro, the percentage of Black residents is higher at 11% compared to 5% in New bedford.
  • New bedford has a higher percentage of White residents at 56% compared to 12% in San leandro.
  • In San leandro, the Asian population stands at 36%, greater than 1% in New bedford.
  • San leandro has a higher percentage of Hispanic residents at 29%, compared to 23% in New bedford.
  • More residents identify as two or more races in New bedford at 14% compared to 11% in San leandro.
  • The percentage of American Indian residents is the same in both New bedford and San leandro at 1%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric New bedford San leandro
Mental Health Not Good 19.4% 15.1%
Physical Health Not Good 13.4% 9.9%
Depression 24.2% 16.8%
Smoking 22.3% 11.1%
Binge Drinking 16.4% 14.6%
Obesity 33.6% 26.7%
Disability Percentage 14.0% 11.0%

Health Statistics Comparison: New bedford vs San leandro

  • More residents in New bedford report poor mental health at 19.4% compared to 15.1% in San leandro.
  • Depression is more prevalent in New bedford at 24.2% compared to 16.8% in San leandro.
  • Smoking is more prevalent in New bedford at 22.3% compared to 11.1% in San leandro.
  • Binge drinking is more common in New bedford at 16.4% compared to 14.6% in San leandro.
  • Obesity rates are higher in New bedford at 33.6% compared to 26.7% in San leandro.
  • Disability percentages are higher in New bedford at 14.0% compared to 11.0% in San leandro.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level New bedford San leandro
No Schooling 2.7% (2,746) 3.5% (2,999)
High School Diploma 19.3% (19,436) 16.2% (14,031)
Less than High School 28.8% (29,037) 17.8% (15,482)
Bachelor's Degree and Higher 10.9% (11,005) 25.2% (21,903)

Education Levels Comparison: New bedford vs San leandro

  • In San leandro, a larger percentage of residents lack formal schooling at 3.5% compared to 2.7% in New bedford.
  • A higher percentage of residents in New bedford hold a high school diploma at 19.3% compared to 16.2% in San leandro.
  • More residents in New bedford have less than a high school education at 28.8% compared to 17.8% in San leandro.
  • In San leandro, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 10.9% in New bedford.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.